Uncovering the location of photovoltaic power plants using heterogeneous remote sensing imagery
发布时间：2025-09-01
点击次数：
- DOI码：
- 10.1016/j.egyai.2025.100527
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Hubei, Peoples R China
- 发表刊物：
- ENERGY AND AI
- 项目来源：
- This research is supported by the National Key Research and Development Program of China (2023YFB390
- 关键字：
- Photovoltaic,Remote sensing,Deep learning,Multimodal fusion,Hubei province
- 摘要：
- Accurate monitoring of photovoltaic (PV) spatial distribution using remote sensing imagery is critical for understanding energy production dynamics. The integration of spatial and spectral features facilitates precise identification of diverse PV installation scenarios. However, existing methods primarily depend on single-source multispectral or high-resolution imagery, limiting their ability to balance spatial detail and spectral richness. To address this, this paper proposes a spatial-spectral differential semantic fusion network named FusionPV to comprehensively map PV locations within comp
- 合写作者：
- Cai, Bowen,Hou, Dongyang,Liu, Qiance,Zheng, Xiaoyu,Wang, Jinyang
- 第一作者：
- Wang, Siyuan
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng
- 文献类型：
- Article
- 卷号：
- 21
- ISSN号：
- 2666-5468
- 是否译文：
- 否
- 发表时间：
- 2025-09-01